AI-Native Engineering Manager: Enterprise Agentic Workflows

Accenture

Miami (FL)

On-site

USD 100,000 - 320,000

Full time

39 hours ago
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Benefits offered by this job

Market-competitive benefits

Job summary

Accenture seeks an AI-native engineer to design and deploy agent-driven workflows within enterprise environments. You will embed with clients as a technologist and advisor, shaping use cases and rapidly prototyping robust, secure automation.

You will collaborate with stakeholders to deploy scalable AI agents, measure performance, and share reusable patterns. The role emphasizes leadership in workshops, production deployment, and cross-provider AI integration, with travel as needed across client

Qualifications

  • Minimum 3 years engineering experience with cloud-native systems (APIs, microservices, containerization, serverless).
  • Minimum 1 year designing and deploying agentic solutions in production environments.

Responsibilities

  • Design enterprise-ready AI agents with retrieval, orchestration, policy-based routing, tool invocation, and observability.
  • Develop abstraction layers across AI providers (Anthropic, Google, OpenAI) for seamless multi-provider integration.
  • Leverage Kubernetes, Docker, microservices, serverless, and CI/CD to deliver scalable AI-native systems.
  • Tailor agentic applications across verticals like finance, healthcare, and retail.

Skills

Cloud-native systems
Agentic design
Python
Java

Education

Bachelor's degree or higher

Tools

Kubernetes
Docker
CI/CD
Terraform
OpenAI

Job description

Accenture seeks an AI-native engineer to design and deploy agent-driven workflows within enterprise environments. You will embed with clients as a technologist and advisor, shaping use cases and rapidly prototyping robust, secure automation.

You will collaborate with stakeholders to deploy scalable AI agents, measure performance, and share reusable patterns. The role emphasizes leadership in workshops, production deployment, and cross-provider AI integration, with travel as needed across client

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